Western-Fields Seminar Series in Networks, Random Graphs, and Neuroscience
Description
Neural networks can achieve human-like performance on sensory and cognitive tasks through adjustment of their connections. The link between these connections and neural computation, however, remains unclear. Random graph theory provides powerful descriptions of network structure and dynamics, and the mathematics of random graphs provides a useful tool in understanding computation in biological and artificial neural networks. This seminar series will bring together leading researchers studying neural dynamics, computation, and the mathematics of random graphs. This diverse group of outstanding researchers represents an opportunity to create links and foster new approaches in discrete mathematics and neural computation. Monthly virtual talks (second Thursdays of each month, 12-1 PM EST) will aim to create new discussions and collaborations.
Please register here to get the Zoom link.
Schedule
12:00 to 13:00 |
TBA
Jeannette Janssen, Dalhousie University |
12:00 to 13:00 |
TBA
Alex Lubotzky, Hebrew University |
12:00 to 13:00 |
Frances Skinner, Krembil Research Institute, University Health Network |
12:00 to 13:00 |
TBA
Arvind Kumar, Hebrew University and The Hebrew University of Jerusalem |
12:00 to 13:00 |
TBA
Krystal Guo, Centre de Recherches Mathématiques and University of Waterloo |
12:00 to 13:00 |
TBA
Todd Coleman, University of California, Los Angeles |
12:00 to 13:00 |
TBA
Bard Ermentrout, University of Pittsburgh |